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CDPOP: A spatially explicit cost distance population genetics programAuthor(s): Erin L. Landguth; S. A. Cushman
Source: Molecular Ecology Resources. 10: 156-161.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
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DescriptionSpatially explicit simulation of gene flow in complex landscapes is essential to explain observed population responses and provide a foundation for landscape genetics. To address this need, we wrote a spatially explicit, individual-based population genetics model (CDPOP). The model implements individual-based population modelling with Mendelian inheritance and k-allele mutation on a resistant landscape. The model simulates changes in population and genotypes through time as functions of individual based movement, reproduction, mortality and dispersal on a continuous cost surface. This model will be a valuable tool for the study of landscape genetics by increasing our understanding about the effects of life history, vagility and differential models of landscape resistance on the genetic structure of populations in complex landscapes.
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CitationLandguth, Erin L.; Cushman, S. A. 2010. CDPOP: A spatially explicit cost distance population genetics program. Molecular Ecology Resources. 10: 156-161.
Keywordsdistance matrices, individual-based model, landscape resistance, population genetics
- Simulating natural selection in landscape genetics
- Relationships between migration rates and landscape resistance assessed using individual-based simulations
- Landscape genetics and limiting factors
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